Computer Vision And Image Understanding

杂志介绍

Computer Vision And Image Understanding杂志介绍

《Computer Vision And Image Understanding》是一本以English为主的未开放获取国际优秀期刊，中文名称计算机视觉和图像理解，本刊主要出版、报道计算机科学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为4.3，最新CiteScore 指数为7.8。

本刊近期中国学者发表的论文主要有：

• SCA-Net: Spatial and channel attention-based network for 3D point clouds*

  Author: Tang, Xikai; Habashy, Karim; Huang, Fangzheng; Li, Chao; Ban, Dayan

• Multi-granularity Pseudo-label Collaboration for unsupervised person re-identification

  Author: Li, Xiaobao; Li, Qingyong; Liang, Fengjiao; Wang, Wen

• Recurrent context-aware multi-stage network for single image deraining

  Author: Liu, Yuetong; Zhang, Rui; Zhang, Yunfeng; Pan, Xiao; Yao, Xunxiang; Ni, Zhaorui; Han, Huijian

• Sparse coding with morphology segmentation and multi-label fusion for hyperspectral image super-resolution

  Author: Xing, Changda; Wang, Meiling; Cong, Yuhua; Wang, Zhisheng; Duan, Chaowei; Liu, Yiliu

英文介绍

Computer Vision And Image Understanding杂志英文介绍

The central focus of this journal is the computer analysis of pictorial information. Computer Vision and Image Understanding publishes papers covering all aspects of image analysis from the low-level, iconic processes of early vision to the high-level, symbolic processes of recognition and interpretation. A wide range of topics in the image understanding area is covered, including papers offering insights that differ from predominant views.

Research Areas Include:

• Theory

• Early vision

• Data structures and representations

• Shape

• Range

• Motion

• Matching and recognition

• Architecture and languages

• Vision systems